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What is Bevywise IoT Platform?

The IoT Platform offers all the necessary components to effortlessly design and deploy a full-fledged IoT application. By leveraging the IoT Platform, you can focus on your core business goals, as it is customizable and can be tailored to reflect your brand identity. Rather than building from scratch, you can work on growing your customer base with greater efficiency. Thanks to its flexible architecture and strong support for IoT technology, this platform is ideal for service providers looking to consolidate their clients while ensuring secure connectivity between IoT devices and applications linked to a central server. Any device that sends or receives messages using MQTT over a TCP/IP connection can be classified as an MQTT client, with the protocol itself adhering to TCP/IP standards. Both the client and the broker function on this TCP/IP layer, which is also applicable in MQTT over SSL setups. The Bevywise platform simplifies the establishment of MQTT/TCP connections, aiding in the rapid development of IoT applications. Moreover, the multi-tenant device management capability allows for effective oversight of various customer device data within one platform, enabling each client to efficiently monitor and manage their IoT devices. This all-encompassing solution not only improves operational efficiency but also cultivates enhanced customer interaction and satisfaction. Ultimately, it empowers businesses to adapt to changing market demands while ensuring a streamlined user experience.

What is Akamai IoT Edge Connect?

IoT Edge Connect enables swift communication and data management for devices associated with Akamai. It employs both the message queuing telemetry transport (MQTT) and HTTP protocols to effectively gather incoming messages. This innovative system processes and transmits data to devices in real-time by utilizing a publish-subscribe architecture. The MQTT protocol allows for the reading and writing of data within message queues, while the HTTP interface serves as a gateway for accessing these queues. Through the HTTP interface, clients are able to obtain messages categorized by topics according to their REST API requests, facilitating a smooth interaction and data exchange. Consequently, IoT Edge Connect stands out as a flexible and efficient solution for overseeing device communication and data processing, making it an essential tool for modern IoT applications. Its architecture ensures that users can maintain a continuous flow of information across various connected devices.

Media

Media

Integrations Supported

Amazon EC2
DigitalOcean
Google Cloud Platform
Microsoft 365
Microsoft Azure
MySQL
PostgreSQL
Rackspace
Raspberry Pi OS
SQL Server
SQLite
Salesforce

Integrations Supported

Amazon EC2
DigitalOcean
Google Cloud Platform
Microsoft 365
Microsoft Azure
MySQL
PostgreSQL
Rackspace
Raspberry Pi OS
SQL Server
SQLite
Salesforce

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Bevywise Networks

Date Founded

2016

Company Location

United States

Company Website

www.bevywise.com/iot-platform/

Company Facts

Organization Name

Akamai

Date Founded

1998

Company Location

United States

Company Website

learn.akamai.com/en-us/products/web_performance/iot_edge_connect.html

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Categories and Features

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